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Project title: Atomistic Simulations of Surface Chemistry underpinning the Atomic-Scale Processing of Materials for AI-driven Nanoelectronics Applications Supervisor: Dr. Bora Karasulu (Assistant
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Supervisors: Prof. James Kermode (Engineering) and Dr. Thomas Hudson (Maths) Summary: Inverse problems are a general class of problems that involve calibrating the parameters of a model using
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Nederland Technology B.V. (the industry sponsor), the Research and Development of Tata Steel in the Netherlands. Essential and Desirable Criteria We are actively seeking an enthusiastic individual to join the
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real impact. Essential and Desirable Student background Criteria Background: Engineering ideally with material science Essential knowledge - skills – experience: analytical skills, ability to demonstrate
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, Engineering, Computer Science or relevant discipline Funding and Eligibility Available to eligible home fees students. Key Information Supervisors: Alok Choudhary, Sube Singh
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significantly to the academic body of knowledge on sustainable supply chain management. Essential and Desirable Criteria A 2:1 Bachelors or a Masters Degree in Business, Engineering, Computer Science or relevant
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the challenges and characterise plausible transition to VCE decarbonisation, this PhD Studentship will utilise sustainable systems engineering and data science principles, within a spatial ecological-economic
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recruits enthusiastic students from across physical sciences, mathematics and engineering who enjoy using their mathematical skills and thinking flexibly to solve complex problems. By developing these skills
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Group: Centre of Polymer and Composites (CPC) Subject Areas: Manufacturing Engineering, Mechanical Engineering, Solid Mechanics, Structural Mechanics
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or electronic engineering, machine learning, medical physics or neuroscience. Knowledge of electronics is essential. Strong programming skills (MATLAB is essential) & Phyton (TensorFlow library, desirable